ACSW

Intrusion detection remains one of the critical research issues in network security. Many machine learning algorithms have been proposed to develop intrusion detection systems, which can categorize network traffic into normal and anomalous classes. The ...

Threat information sharing practices have the potential to improve cyber security. However, participation in sharing communities is not widely adopted. The existing literature finds a variety of benefits and challenges that either promote or deter ...

One of the 21st century’s hottest topics in the world of IT has been the emergence of what some predict to be the foundation stone for a new era of internet (web 3.0): Blockchain technology. Besides being the backbone of what we come to know as ...

Process-aware attack detection plays a key role in securing cyber-physical systems. A process-aware detection system (PADS) identifies a baseline behaviour of the physical process in cyber-physical systems and continuously attempts to detect deviations ...

Bring your own device (BYOD) is the practice of bringing an individual’s own technology into the organisation for use in that environment. BYOD has become more commonplace in 2020 as a result of the COVID19 pandemic, as employees work from home, often ...

For many years, computer scientists have explored the computing power of so-called computing clusters to address performance requirements of computationally intensive tasks. Historically, computing clusters have been optimized with run-time performance ...

In this work, we propose a parallel programming framework, SIMDify, which generates single-instruction-multiple-data (SIMD) processors that can achieve SIMD processing without using SIMD instructions. SIMDify takes an application machine code compiled ...

Streaming applications have become widespread with the advent of big data and IoT. They are latency-sensitive applications that aim to process vast amounts of data in near real time. They are usually modelled as directed graphs and their deployment and ...

Digital services are increasingly becoming cyber-physical and osmotic, combining Cloud resources with Fog, Edge, and IoT devices. This trend can be observed in the e-health domain or in smart city applications where the location of software deployments ...

Born from a need for a pure “pay-per-use” model and highly scalable platform, the “Serverless” paradigm emerged and has the potential to become a dominant way of building cloud applications. Although it was originally designed for cloud environments, ...

Physical activity has numerous benefits, but a large proportion of the population do not exercise enough. Exergaming, the combination of exercises and gaming, has been suggested as a means to increase physical activity for people not intrinsically ...

Recent years have seen a rise in the development and use of dialog agents (chatbots) including as personal friends, coaches and even counsellors (Virtual Counsellor, VC). Some of these [1] employ expert psychotherapy techniques, notably Cognitive ...

More than 144 000 Australians were diagnosed with cancer in 2019. Diagnosing cancer in primary care is challenging due to the non-specific nature of cancer symptoms and its low prevalence. Understanding the epidemiology of cancer symptoms and patterns ...

Surgical risk increases significantly when patients present with comorbid conditions. This has resulted in the creation of numerous risk stratification tools with the objective of formulating associated surgical risk to assist both surgeons and patients ...

This paper describes the evaluation completed on a targeted health information delivery system from the perspective of potential client-type end-users. The system was created as a tool for Healthcare Practitioners (HCPs) to evaluate their clients and ...

Early and accurate detection of melanoma with data analytics can make treatment more effective. This paper proposes a method to classify melanoma cases using deep learning on dermoscopic images. The method demonstrates that heavy augmentation during ...

The Open Banking model is a data sharing model emerging in financial services sector that involves technological and regulatory innovations designed to facilitate access to banking records by third party providers such as payment service providers. The ...

Health data captured in Electronic health records (EHRs) have enabled the development of computational approaches to improve patient management and treatment, including early diagnosis of severe conditions such as sepsis. The validity of these efforts, ...

Early diagnosis of infective keratitis is critical as it is a vision-threatening condition that can lead to significant vision loss and ocular morbidity. Diagnosis of infective keratitis done through clinical findings and slit- lamp examination is ...

Since unprovoked seizures are identified as the biggest concern of epileptic patients, an effective seizure prediction device is definitely a game changer in epilepsy management. In order to apply seizure prediction in practical settings, seizure ...

Psychometric testing has become a popular scientific method to measure individuals’ mental capabilities and behavioural styles. Traditional psychometric tests are standardised and usually require the completion of paper forms. This means they are ...

Following the digitisation of the classic Stroop Colour and Word Test, a set of scenarios have been produced in a game engine using a First Person Shooter (FPS) video-game format to determine whether the Stroop effect is replicable, specifically in the ...

Anomalies in esports refer to situations when something unexpected or unlikely happens. Rapid performance changes, unusual strategies, extraordinary plays, accelerated resource gains or team wipeouts comprise examples, but anomalies fundamentally ...

Avatars act as digital representations of players or non-playing characters in games and other online environments, and also play a key role key in educational games. This study looks at gender differences that may impact on human avatar interactions, ...

Good games are engaging for the right audience. They compel their players to come back and play, motivate their participation with meaningful moment-to-moment actions (meaningful play), help them develop a long-term engagement (self-determination), and ...

The paper presents the system based on the layered hierarchical graphs for game plot description implemented in Godot Engine using the JSON format. The aim of the presented research is to create a tool that both supports the decision-making process and ...